Molecular epidemiology of Mycobacterium tuberculosis complex in Singapore, 2006-2012

11Citations
Citations of this article
50Readers
Mendeley users who have this article in their library.

Abstract

Background: Tuberculosis remains common in Singapore, increasing in incidence since 2008. We attempted to determine the molecular epidemiology of Mycobacterium tuberculosis complex (MTC) isolates locally, identifying major circulating genotypes and obtaining a glimpse of transmission dynamics. Methodology: Non-duplicate MTC isolates archived between 2006 and 2012 at the larger clinical tuberculosis laboratory in Singapore were sampled for spoligotyping and MIRU-VNTR typing, with case data obtained from the Singapore Tuberculosis Elimination Program registry database. Isolates between 2008 and 2012 were selected because of either multidrug-resistance or potential epidemiological linkage, whereas earlier isolates were randomly selected. Separate analyses were performed for the early (2006-2007) and later (2008-2012) study phases in view of potential selection bias. Principal Findings: A total of 1,612 MTC isolates were typed, constituting 13.1% of all culture-positive tuberculosis cases during this period. Multidrug-resistance was present in 91 (5.6%) isolates - higher than the national prevalence in view of selection bias. The majority of isolates belonged to the Beijing (45.8%) and EAI (22.8%) lineages. There were 347 (30.7%) and 133 (27.5%) cases clustered by combined spoligotyping and MIRU-VNTR typing from the earlier and later phases respectively. Patients within these clusters tended to be of Chinese ethnicity, Singapore resident, and have isolates belonging to the Beijing lineage. A review of prior contact investigation results for all patients with clustered isolates failed to reveal epidemiological links for the majority, suggesting either unknown transmission networks or inadequate specificity of the molecular typing methods in a country with a moderate incidence of tuberculosis. Conclusion: Our work demonstrates that Singapore has a large and heterogeneous distribution of MTC strains, and with possible cross-transmission over the past few years based on our molecular typing results. A universal MTC typing program coupled with enhanced contact investigations may be useful in further understanding the transmission dynamics of tuberculosis locally. © 2013 Lim et al.

References Powered by Scopus

Simultaneous detection and strain differentiation of Mycobacterium tuberculosis for diagnosis and epidemiology

2574Citations
N/AReaders
Get full text

Whole-genome sequencing to delineate Mycobacterium tuberculosis outbreaks: A retrospective observational study

722Citations
N/AReaders
Get full text

Whole-genome sequencing and social-network analysis of a tuberculosis outbreak

602Citations
N/AReaders
Get full text

Cited by Powered by Scopus

Effect of study design and setting on tuberculosis clustering estimates using Mycobacterial Interspersed Repetitive Units-Variable Number Tandem Repeats (MIRU-VNTR): A systematic review

24Citations
N/AReaders
Get full text

Time series analysis of demographic and temporal trends of tuberculosis in Singapore

24Citations
N/AReaders
Get full text

Multiple large clusters of tuberculosis in London: A cross-sectional analysis of molecular and spatial data

16Citations
N/AReaders
Get full text

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

Lim, L. K. Y., Sng, L. H., Win, W., Chee, C. B. E., Hsu, L. Y., Mak, E., … Wang, Y. T. (2013). Molecular epidemiology of Mycobacterium tuberculosis complex in Singapore, 2006-2012. PLoS ONE, 8(12). https://doi.org/10.1371/journal.pone.0084487

Readers' Seniority

Tooltip

PhD / Post grad / Masters / Doc 15

56%

Researcher 10

37%

Professor / Associate Prof. 1

4%

Lecturer / Post doc 1

4%

Readers' Discipline

Tooltip

Medicine and Dentistry 12

50%

Immunology and Microbiology 5

21%

Nursing and Health Professions 4

17%

Agricultural and Biological Sciences 3

13%

Article Metrics

Tooltip
Social Media
Shares, Likes & Comments: 1

Save time finding and organizing research with Mendeley

Sign up for free